For bachelor students we offer German lectures on database systems in addition with paper- or project-oriented seminars. Within a one-year bachelor project students finalize their studies in cooperation with external partners. For master students we offer courses on information integration, data profiling, search engines and information retrieval enhanced by specialized seminars, master projects and advised master theses.

The Web Science group focuses on various topics related to the Web, such as Information Retrieval, Natural Language Processing, Data Mining, Knowledge Discovery, Social Network Analysis, Entity Linking, and Recommender Systems. The group is particularly interested in Text Mining to deal with the vast amount of unstructured and semi-structured information available on the Web.

Most of our research is conducted in the context of larger research projects, in collaboration across students, across groups, and across universities. We strive to make available most of our data sets and source code.

Topics of Interest

The topics addressed may include consumer or enterprise data management problems. Description of products or products lines must have a strong technical component, with a clear description of use cases and the technology behind it. New applications, challenging use cases, and in depth analysis of technology trends are highly welcomed. Topics of interest include, but are not limited to:

Paper Formatting

Industrial track submissions must be in camera-ready format using the PVLDB formatting instructions, and are limited to 12 pages, inclusive of ALL material. Industrial track submissions must be submitted electronically, in pdf format, by March 1, 2017 (5 PM PST) using the Conference Management Tool for VLDB 2017. When creating a new paper submission, you will be given the option to choose a track. Choose the "Industrial" track for your submission. Please see the submission and formatting guidelines on the web pages for more information about formatting, the submission process, handling conflict of interest, and originality requirements.